Control of constraint forces and trajectories in a rich sensory and actuation environment

Mathematical Biosciences

Volumn 228, Issue 2, 2010, Pages 171-184

  Hemami, Hooshang ^a   Dariush, Behzad ^b  

^a The Ohio State University   (United States)

^b HONDA RESEARCH INSTITUTE   (United States)

Author keywords

Agonist antagonist co activation; Force sensing and force feedback; High gain feedback systems; Hybrid control; Motor control

Indexed keywords

CO-ACTIVATION; FORCE SENSING; HIGH-GAIN FEEDBACK; HYBRID CONTROLS; MOTOR CONTROL;

FEEDBACK; LINEAR SYSTEMS; PROPORTIONAL CONTROL SYSTEMS; STATE FEEDBACK; TRAJECTORIES;

CONTROLLERS;

CONTROL SYSTEM; FEEDBACK MECHANISM; NUMERICAL MODEL; TRAJECTORY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BICYCLE; CONTROL SYSTEM; CONTROLLED STUDY; FEEDBACK SYSTEM; HUMAN; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MOTOR CONTROL; MOTOR PERFORMANCE; NEUROTRANSMISSION; PROCESS DEVELOPMENT; PROCESS MODEL; SPINAL REFLEX; VALIDATION PROCESS;

ALGORITHMS; BICYCLING; BIOMECHANICS; COMPUTER SIMULATION; FEEDBACK; FEEDBACK, SENSORY; HUMANS; MODELS, BIOLOGICAL; MOTION; MOVEMENT; NERVOUS SYSTEM PHYSIOLOGICAL PHENOMENA; NONLINEAR DYNAMICS; ORTHOTIC DEVICES; PROSTHESES AND IMPLANTS; ROBOTICS; SPINAL CORD INJURIES;

EID: 78649446536     PISSN: 00255564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mbs.2010.10.001     Document Type: Article

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